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After the U.S. stock market rebound, where will capital flow? That’s what investors really want to know.
Over the past few years, AI has become a major theme in the tech market. But as the market has expanded, the AI industry has also begun to diverge internally.
First, the semiconductor sector. AI model training and inference require vast computing resources, keeping chips, memory, and high-speed interconnect equipment important. However, the industry is also cyclical, so investors should look beyond order growth and pay attention to inventory and profit margins.
Next, cloud computing. More and more companies want to apply AI to office work, marketing, data analysis, and customer service, giving cloud platforms the chance to reap long-term returns from infrastructure investment.
Third, software. In the past, the market focused more on who could produce the most powerful chips. Now, it is starting to focus on who can actually sell AI to customers. Software companies that can improve efficiency, reduce costs, and generate revenue may find new opportunities for higher valuations.
But it’s important to remember that AI doesn’t mean every tech company will make money. Some companies may emerge as industry winners, while others may be swept away by technological change.
It’s like a massive gold rush: some sell the shovels, some dig for gold, and others just tell stories.
The next U.S. stock market rally may be less of a one-man show by a handful of chip giants and more of a contest over profitability across the entire AI industry. #标普500创7个月最大涨幅 $SNDK